BACKGROUND:The quadriceps strength of patients with osteoporosis and sarcopenia is significantly reduced,which can further reduce the function of the knee joint,affect the function of the lower limbs and even lead to a decrease in whole-body coordination.It is speculated that a reasonable quadriceps training program and personalized guidance are beneficial to the recovery of knee joint function in patients with osteoporosis and sarcopenia.OBJECTIVE:To observe the effect of short-term moderate-intensity resistance rehabilitation training on the mass and function of the quadriceps and knee joint function in patients with osteoporosis and sarcopenia.METHODS:Using the integrated physical examination and rehabilitation model,375 patients with osteoporosis and sarcopenia were screened at the Health Management Center of Shanghai Public Health Clinical Center.They underwent 12 weeks of combined/comprehensive exercise rehabilitation based on resistance exercise,including quadriceps resistance isotonic and isometric contraction training twice a week(3-5 sets each time,10-15 minutes per set)and aerobic exercise/balance exercise two or three times a week(30 minutes each time).Assessments and data collection were performed before rehabilitation training,12 weeks after rehabilitation training,and at follow-up 12 weeks after stopping rehabilitation training,mainly including knee joint range of motion and proprioception,quadriceps muscle strength,and cross-sectional area(magnetic resonance imaging results),pain,knee joint function(Hospital for Special Surgery score)and walking function("up-and-go"time and 6 m pace test results)as well as the patient's psychological status assessment.RESULTS AND CONCLUSION:All 375 patients completed 12 weeks of rehabilitation training and 12 weeks of follow-up without any adverse events.(1)Compared with before training,the patients' gait speed and knee range of motion increased significantly after 12 weeks of rehabilitation training(P＜0.01),the time of"stand-to-walk"decreased(P＜0.01),and the proprioception of the knee joint and the strength of the quadriceps femoris were significantly improved(P＜0.01);and at the follow-up visit 12 weeks after stopping training,the above indicators and functions of the patients were well maintained(P＞0.05).(2)Magnetic resonance imaging results showed that the effective cross-sectional area of the quadriceps femoris did not improve significantly after 12 weeks of rehabilitation training(P＞0.05);but the Hospital for Special Surgery score of knee joint function increased significantly(P＜0.01),and the visual analog pain scale score decreased significantly(P＜0.01),suggesting that this may be related to the improvement of quadriceps femoris quality by resistance rehabilitation training.(3)The results of the Hospital Anxiety and Depression Scale score showed that the anxiety and depression scores of the patients continued to decrease,both at 12 weeks of rehabilitation training and at 12 weeks after stopping training(P＜0.01).It is suggested that resistance rehabilitation training of the quadriceps can help patients with osteoporosis and sarcopenia to restore quadriceps muscle strength,increase range of motion,improve proprioception and joint stability,thereby enhancing knee joint function,reducing pain,improving depression and anxiety,and to a certain extent promoting the coordinated recovery of the musculoskeletal system.

AIM: To investigate the application of deep optical coherence tomography(DRI-OCT)combined with IOL Master 500 in measuring choroidal thickness and axial length(AL)in pediatric myopic patients, and analyze the relationship between choroidal thickness and AL.METHODS: Prospective study. A total of 210 pediatric myopia patients(210 eyes)admitted between August 2021 and August 2024 were enrolled. Based on spherical equivalent(SE)measurements, they were categorized into a low myopia group(-3.00 D 0.05). Intraocular pressure, SE, AL, and choroidal thickness at different locations all showed significant differences(all P<0.001). Pearson correlation analysis revealed that AL negatively correlated with choroidal thickness(both P<0.001). The results of multiple linear regression analysis indicate that intraocular pressure, SE, and AL are factors influencing choroidal thickness(all P<0.001).CONCLUSION:DRI-OCT combined with IOL Master 500 is able to detect choroidal thickness and AL well, in addition, choroidal thickness closely correlated with intraocular pressure, SE and AL levels.

This study aimed to investigate the protective effects of Huangqi Guizhi Wuwu decoction (HGWD) against cerebral ischemic injury and the underlying mechanisms. A middle cerebral artery occlusion (MCAO) model was established in C57BL/6 mice to evaluate the effects of HGWD on neurobehavioral scores, cerebral infarction rate, brain water content, and oxidative stress and inflammatory markers. The mRNA and protein expression levels of nuclear factor erythroid 2-related factor 2 (Nrf2), heme oxygenase-1 (HO-1), B-cell lymphoma-2 (Bcl-2), and Bcl-2-associated X protein (Bax) in brain tissue were assessed. In addition, Nrf2 knockout mice were used to verify the role of Nrf2 in the protective effects of HGWD against MCAO-induced injury. Additionally, an oxygen-glucose deprivation/reperfusion (OGD/R) model in primary neuronal cells was employed to further confirm the pharmacological effects of HGWD in vitro. The results showed that HGWD significantly ameliorated cerebral ischemic injury in MCAO mice, alleviated oxidative stress, suppressed the release of inflammatory factors, and markedly upregulated the expression of Nrf2, HO-1, and Bcl-2 while downregulating Bax expression, with consistent trends being observed at both mRNA and protein levels. The protective effects of HGWD were significantly attenuated in Nrf2 knockout mice, indicating the pivotal role of Nrf2 in HGWD-mediated protection against cerebral ischemic injury. In vitro experiments revealed that HGWD significantly increased neuronal cell viability, reduced lactate dehydrogenase(LDH) leakage, and decreased apoptosis in OGD/R-treated cells, accompanied by upregulation of Nrf2, HO-1, and Bcl-2 and downregulation of Bax. In conclusion, HGWD protects against cerebral ischemic injury by activating the Nrf2/HO-1 pathway to enhance antioxidant capacity and modulating the Bcl-2/Bax signaling pathway to inhibit apoptosis, thereby protecting brain cells from ischemic damage.

BACKGROUND:The quadriceps strength of patients with osteoporosis and sarcopenia is significantly reduced,which can further reduce the function of the knee joint,affect the function of the lower limbs and even lead to a decrease in whole-body coordination.It is speculated that a reasonable quadriceps training program and personalized guidance are beneficial to the recovery of knee joint function in patients with osteoporosis and sarcopenia.OBJECTIVE:To observe the effect of short-term moderate-intensity resistance rehabilitation training on the mass and function of the quadriceps and knee joint function in patients with osteoporosis and sarcopenia.METHODS:Using the integrated physical examination and rehabilitation model,375 patients with osteoporosis and sarcopenia were screened at the Health Management Center of Shanghai Public Health Clinical Center.They underwent 12 weeks of combined/comprehensive exercise rehabilitation based on resistance exercise,including quadriceps resistance isotonic and isometric contraction training twice a week(3-5 sets each time,10-15 minutes per set)and aerobic exercise/balance exercise two or three times a week(30 minutes each time).Assessments and data collection were performed before rehabilitation training,12 weeks after rehabilitation training,and at follow-up 12 weeks after stopping rehabilitation training,mainly including knee joint range of motion and proprioception,quadriceps muscle strength,and cross-sectional area(magnetic resonance imaging results),pain,knee joint function(Hospital for Special Surgery score)and walking function("up-and-go"time and 6 m pace test results)as well as the patient's psychological status assessment.RESULTS AND CONCLUSION:All 375 patients completed 12 weeks of rehabilitation training and 12 weeks of follow-up without any adverse events.(1)Compared with before training,the patients' gait speed and knee range of motion increased significantly after 12 weeks of rehabilitation training(P＜0.01),the time of"stand-to-walk"decreased(P＜0.01),and the proprioception of the knee joint and the strength of the quadriceps femoris were significantly improved(P＜0.01);and at the follow-up visit 12 weeks after stopping training,the above indicators and functions of the patients were well maintained(P＞0.05).(2)Magnetic resonance imaging results showed that the effective cross-sectional area of the quadriceps femoris did not improve significantly after 12 weeks of rehabilitation training(P＞0.05);but the Hospital for Special Surgery score of knee joint function increased significantly(P＜0.01),and the visual analog pain scale score decreased significantly(P＜0.01),suggesting that this may be related to the improvement of quadriceps femoris quality by resistance rehabilitation training.(3)The results of the Hospital Anxiety and Depression Scale score showed that the anxiety and depression scores of the patients continued to decrease,both at 12 weeks of rehabilitation training and at 12 weeks after stopping training(P＜0.01).It is suggested that resistance rehabilitation training of the quadriceps can help patients with osteoporosis and sarcopenia to restore quadriceps muscle strength,increase range of motion,improve proprioception and joint stability,thereby enhancing knee joint function,reducing pain,improving depression and anxiety,and to a certain extent promoting the coordinated recovery of the musculoskeletal system.

Objective: To address the challenges of systematically identifying herb pairs in traditional Chinese medicine (TCM), we proposed HerbGL, a framework for predicting potential herb pairs that integrates network propagation and graph regularization. Methods: Based on the assumption that herbal actions induce subtle perturbations in biological systems, a framework named HerbGL was proposed. Random walk with restart (RWR) was first applied to the protein-protein interaction (PPI) network to reconstruct herb-specific perturbation effects and generate weighted subnetworks. Then, to quantify affinity between herb pairs, two network-proximity metrics, Closeness and PageRank, were computed from the weighted subnetworks to construct herb-pair affinity matrices. Finally, these matrices, together with known herb pairs (derived from co-occurrence analysis of TCM formulas with a threshold determined from the inflection point of the frequency distribution), were incorporated into a graph regularization model to predict potential herb pairs. Model performance was assessed through baseline comparison, ablation and robustness experiment under different ratios of positive and negative samples, using the area under the receiver operating characteristic curve (AUROC), the area under the precision-recall curve (AUPRC), accuracy, and precision as evaluation metrics. Furthermore, the predicted herb pairs were validated through both literature evidence and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Results: The weighted subnetworks constructed by RWR provided a refined simulation of herb-specific perturbation effects, which formed the basis for subsequent affinity modeling and prediction. Analysis of herb pair co-occurrence frequencies revealed a marked change around 150, which was selected as the threshold to distinguish herb pairs from non-herb pairs. HerbGL exhibited superior predictive performance compared with baseline models (AUROC = 0.970 5, AUPRC = 0.955 5, accuracy = 0.726 6, precision = 0.970 6). Ablation results showed that removing the Closeness and PageRank metrics substantially degraded performance (AUROC = 0.819 1, AUPRC = 0.876 8), confirming their necessity. Robustness evaluation under an imbalanced positive-to-negative sample ratio of 1 : 5 yielded AUROC = 0.969 6 and AUPRC = 0.840 4, indicating stable predictive ability. Moreover, multiple case studies further validated the rationality of the predicted herb pairs, such as Fangfeng (Saposhnikoviae Radix) and Qingpi (Citri Reticulatae Pericarpium Viride) which are recorded in Liangpeng Huiji (《良朋汇集》, Collection of Excellent Recipes) Vol. 3: Fangfeng Shengma Tang (防风升麻汤). Additionally, pathway enrichment analysis of the Renshen (Ginseng Radix et Rhizoma) and Lianqiao (Forsythiae Fructus) pair further supported the biological plausibility of their compatibility. Conclusion HerbGL offers an effective and biologically informed framework for identifying herb pairs in TCM. Beyond improving herb pair prediction, the framework also provides data support for research on herb compounds and mechanisms, thereby supporting data-driven exploration of TCM compatibility.

Objective To analyze the practical value of spiral CT three-dimensional reconstruction techniquein evaluating triplane fractures of the distal tibia.Methods A retrospective analysis was conducted on183 patients with triplane fractures of the distal tibia admitted to Sichuan Orthopedic Hospital from January 2021 to March 2023.All patients underwent both X-ray and spiral CT examinations.Taking surgical reduction results as the gold standard for diagnosis,the diagnostic accuracies of X-ray examination and spiral CT three-dimensional reconstruction technique for triplane fractures of the distal tibia were analyzed.Results Fracture classification according to the number of fracture fragments showed that among the 183 patients with triplane fractures of the distal tibial,there were 44 cases of four-part fractures,62 cases of three-part fractures,and 77 cases of two-part fractures.The classification by the location of epiphyseal injury in the distal tibia showed 175 cases of lateral type and 8 cases of medial type.According to whether the fracture line involved the articular surface,they were categorized into 94 cases of type I,60 cases of type II,and 29 cases of type III.For the classification of the number of fracture fragments,X-ray misdiagnosed 9 cases of four-part fractures as three-part or two-part fractures,and 21 cases of three-part fractures as two-part fractures,resulting in a diagnostic accuracy of 83.60%.For theclassification of fracture line and articular surface position,X-ray led to misdiagnosis or inaccurate diagnosis in 39 cases,with a diagnostic accuracy of 78.69%.When spiral CT three-dimensional reconstruction technique was used to classify the number of fracture fragments,only 1 case of four-part fracture was misdiagnosed as three-part fracture,and 2 cases of three-part fractures were misdiagnosed as four-part fractures or two-part fractures,yielding a diagnostic accuracy of 98.36%.For the diagnosis of the positional relationship of the fracture line to the articular surface,spiral CT three-dimensional reconstruction technique had 8 misdiagnoses,with a corresponding diagnostic accuracy of 95.63%.Conclusion Spiral CT three-dimensional reconstruction technique can stereoscopically display the spatial information of the triplane fractures of the distal tibia,such as the location,shape,type,and articular surface,exhibiting high accuracy for classification diagnosis and significant application value in the reduction and treatment of triplane fractures of the distal tibia.

Objective To compare the clinical outcomes of patients with coronary in-stent restenosis(ISR)who underwent drug-coated balloon(DCB)treatment,based on different clinical presentations.Methods This prospective study included 508 patients diagnosed with coronary ISR at Anzhen Hospital,Capital Medical University,between May 2020 and May 2022.All patients received DCB treatment.According to clinical presentation,the patients were divided into an acute coronary syndrome(ACS)group(185 patients)and a non-acute coronary syndrome(non-ACS)group(323 patients).All patients were followed for two years,primarily comparing the incidence of myocardial infarction(MI),target lesion revascularization(TLR),death,and major adverse cardiovascular events(MACE)between the two groups.Results Baseline data showed that the ACS group had a significantly higher proportion of hypertension,diabetes,and smoking compared to the non-ACS group(all P＜0.05).Additionally,the ACS group had a higher proportion of B2/C-type lesions,long lesions,and moderate to severe calcified lesions(all P＜0.05).The number,length,and diameter of stents implanted were also significantly larger in the ACS group(all P＞0.05).At the 1-year follow-up,the ACS group had a significantly higher incidence of TLR(8.1％vs.2.5％,P=0.007)and MACE(10.3％vs.5.3％,P=0.047)than the non-ACS group.By the end of the 2-year follow-up,the ACS group still had higher rates of TLR(18.9％vs.10.2％,P=0.007)and MACE(22.7％vs.14.9％,P=0.030).Conclusions ISR patients with ACS have higher cardiovascular risk and more complex lesions.They also experience a higher incidence of adverse events after DCB treatment.

Objective:To investigate the value of habitat radiomic features based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced MRI in establishing a predictive model for cytokeratin 19 (CK19) expression in hepatocellular carcinoma (HCC) and to evaluate its role in prognostic risk stratification.Methods:This multicenter case-control study retrospectively enrolled 489 patients with pathologically confirmed HCC who underwent Gd-EOB-DTPA-enhanced MRI between June 2016 and June 2024. Among them, 346 patients from the First Affiliated Hospital of Soochow University were divided into a training cohort ( n=245) and an internal test cohort ( n=101) via stratified sampling at a 7∶3 ratio. And 143 patients from Nantong Third Hospital Affiliated to Nantong University served as an external validation cohort. The training cohort included 53 CK19-positive and 192 CK19-negative patients. The internal test cohort included 21 CK19-positive and 80 CK19-negative patients. The external validation cohort included 30 CK19-positive and 113 CK19-negative patients. Univariate logistic regression analysis was performed to identify potential factors associated with CK19 expression, and a clinical-radiologic model was constructed. The k-means clustering algorithm was applied to segment target HCC lesions into 3 subregions. Radiomic features were extracted and selected from these habitat subregions. Habitat radiomics models were constructed for the arterial phase (AP), portal venous phase, hepatobiliary phase (HBP), and combined phases (CP). Multivariate logistic regression analysis identified independent clinical and radiologic predictors of CK19 expression, and the optimal habitat model score was integrated to build a clinical-radiologic-habitat combined model. The area under the receiver operating characteristic curve (AUC) was used to evaluate model predictive performance. Recurrence-free survival (RFS) was analyzed using the Kaplan-Meier method and the differences in survival curves were compared with the log-rank test. Results:Univariate logistic regression analysis revealed that alpha-fetoprotein (AFP) ( OR=2.629, 95% CI 1.412-4.896, P=0.002), AP enhancement ( OR=3.636, 95% CI 1.642-8.052, P=0.001), AP peritumoral enhancement ( OR=2.219, 95% CI 1.084-4.542, P=0.029), and HBP peritumoral hypointensity ( OR=2.010, 95% CI 1.004-4.021, P=0.049) were potential factors associated with CK19 expression, which were incorporated into the clinical-radiologic model. In the internal and external validation cohorts, the AUC of the clinical-radiologic model was 0.690 (95% CI 0.590-0.778) and 0.650 (95% CI 0.565-0.727), respectively. The habitat radiomics model based on CP images demonstrated the highest performance. It achieved AUC of 0.729 (95% CI 0.622-0.836) and 0.725 (95% CI 0.607-0.842) in the internal and external validation cohorts, respectively. Multivariate analysis identified AFP ( OR=2.494, 95% CI 1.163-5.348, P=0.019), AP enhancement ( OR=5.230, 95% CI 1.868-14.643, P=0.002) and habitat radiomics model score ( OR=4.105, 95% CI 2.643-6.368, P<0.001) as independent predictors of CK19 positivity. Based on these factors, a combined clinical-radiologic-habitat combined model was established. The clinical-radiologic-habitat combined model achieved AUCs of 0.767 (95% CI 0.671-0.846) and 0.730 (95% CI 0.649-0.801) in the internal and external validation cohorts, respectively. Significant differences in RFS were observed between the CK19-positive group (25.1 month) and CK19-negative group (51.0 month) as predicted by the clinical-radiologic-habitat model ( χ2=4.17, P=0.041). Conclusion:The clinical-radiologic-habitat combined model based on Gd-EOB-DTPA-enhanced MRI habitat radiomics demonstrates good predictive performance for CK19 expression in HCC and offers valuable prognostic stratification for clinical practice.

Objective:To explore the value of the deep learning model based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) enhanced MRI in preoperatively predicting vessels completely encapsulating tumor clusters (VETC) in hepatocellular carcinoma (HCC).Methods:This study adopted a case-control design to retrospectively analyze 420 patients with HCC confirmed by postoperative pathology who underwent Gd-EOB-DTPA enhanced MRI between June 2016 and March 2023. A total of 420 patients were divided into a training set ( n=305) from the First Affiliated Hospital of Soochow University and an external validation set ( n=115) from Affiliated Nantong Hospital 3 of Nantong University. Based on postoperative pathological findings, patients were stratified into VETC-positive and VETC-negative groups. The training set comprised 161 VETC-positive cases and 144 VETC-negative cases, while the external validation set included 55 VETC-positive cases and 60 VETC-negative cases. Tumor regions of interest in arterial, portal venous, and hepatobiliary phases were manually delineated using ITK-SNAP software. Pre-trained Vgg19, Densenet121, and Vision Transformer (ViT) models were employed for transfer learning, extracting deep learning features from each image. Feature data were processed using FAE software, and 12 logistic regression models (arterial phase, portal venous phase, hepatobiliary phase, and combined three-phase models) were constructed to select the optimal deep learning model. Independent predictors in clinical characteristics were identified through univariate and multivariate logistic analyses to establish a clinical model for predicting VETC pattern. Subsequently, a clinical-deep learning fusion model was developed by integrating these clinical predictors with the optimal deep learning features. Model performance in predicting VETC-positive HCC was evaluated using receiver operating characteristic curves, calibration curves, and decision curve analysis (DCA). Results:In the external validation set, the area under the curve (AUC) of the Vgg19 model in the arterial phase, portal venous phase, hepatobiliary phase, and combined three-phase, respectively were 0.799,0.756,0.789,0.821, which were higher than those of Densenet121 (AUC: 0.544,0.581,0.544,0.583) and ViT (AUC: 0.740,0.752,0.785,0.767) model. The three-phase combined Vgg19 model achieved the highest AUC of 0.821 (95% CI 0.746-0.897). Multivariate logistic regression identified alpha-fetoprotein level ( OR=1.826,95% CI 1.069-3.120, P=0.028) and tumor diameter ( OR=1.329,95% CI 1.206-1.466, P<0.001) as independent predictors of VETC-positive HCC, forming the clinical model with an AUC of 0.789 (95% CI 0.703-0.859). The clinical-deep learning fusion model further achieved the AUC of 0.825 (95% CI 0.749-0.900). Calibration curves confirmed high concordance between predicted and actual probabilities for the three-phase Vgg19 model, while DCA revealed greater net clinical benefit for the combined Vgg19 and fusion models compared with the clinical model alone. Conclusions:The deep learning model based on Gd-EOB-DTPA enhanced MRI can be used to predict VETC of HCC preoperatively, among which the three-phase combined Vgg19 model and the clinical-deep learning model provide high predictive value.

Objective:To investigate the association between hearing loss and the type of indoor fuel applications in Chinese middle-aged and elderly people through longitudinal cohort study.Methods:Data were obtained from the China Health and Retirement Longitudinal Study (CHARLS), including adults aged 45 years and older enrolled in 2011, with follow-up for cooking and heating analyses extending to 2018 and 2015, respectively. The study calculated the incidence of hearing loss based on an indoor cooking or heating fuel type and expressed in terms of per 100 person-years. The Cox proportional hazard model was used to assess the association between solid fuel use and hearing loss, and covariates such as gender, education, and economy were controlled. We also analyzed the impact of indoor fuel type and its switching on hearing loss.Results:A total of 6, 772 participants using household fuels for cooking (2011-2018) and 4, 618 for heating (2011-2015) were included. Those using solid fuels for cooking [(58.0±8.2) years] and heating [(58.1±8.5) years] were generally slightly older than that of those who used clean fuels. In the cooking analysis, the overall incidence of hearing loss was higher among solid fuel users compared to clean fuel users (Clean fuel: 2.6 cases per 100 person-years; solid fuel: 3.6 cases per 100 person-years; the difference between the two was statistically significant, P<0.05). However, no significant difference was observed in the heating analysis ( P>0.05). Further classification of fuel-type use revealed that the incidence of hearing loss was the highest among people who had been using solid fuels consistently. Compared to the clean fuel group, the fully adjusted hazard ratio (HR) was 1.5 (95% CI: 1.3-1.7) in the cooking analysis and 1.5 (95% CI: 1.1-2.0) in the heating analysis. Compared with using clean fuels, switching from clean fuels to solid fuels increased the risk of hearing loss both during cooking and heating processes. Conclusion:In the CHARLS database, individuals who use solid fuels for indoor cooking and heating are older than those who use clean fuels. Compared with clean fuel use, the use of solid fuels increases the risk of hearing loss in middle-aged and elderly people. Reducing the use of solid fuels, choosing clean fuels as substitutes for solid fuels, and avoiding the switch from clean fuels to solid fuels will help protect the hearing health of middle-aged and elderly individuals.